Replication Material for "Bargain Down or Shop Around? Outside Options and IMF Conditionality"

## 1 Information

Author: Richard Clark
Date: October 4, 2021
Contact email: richard.clark@princeton.edu

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# 2 File overview

## 2.1 Data files

memsimp.csv - imputed dataset utilized for the robustness checks that include a selection adjustment

prelimlagimp.csv - complete dataset with one year lagged independent variables and multiple imputation

prelimlag.csv - complete dataset with one year lagged independent variables but no imputation

prelimimp.csv - complete dataset with unlagged independent variables and multiple imputation

prelim.csv - complete dataset with unlagged independent variables and no imputation

## 2.2 .R files

Clark_Replication_JOP.R - contains all code needed to build datasets from source data and replicate analyses

## 2.3 R Version 

All data analyses in this article were carried out using R Studio Version 1.1.419 and R version 3.5.2, both for Mac

## 2.4 Codebook

The codebook is included as a PDF document. I include a codebook for the dataset utilized in the main analysis -- prelimlagimp.csv. The other datasets used include the same variables, though sometimes without lags and/or imputation.

CB_prelimlagimp.csv - complete dataset with one year lagged independent variables and multiple imputation

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# 3 Data source files. Note that observations are uniquely linked to their source datasets by country-year in our final datasets. Full references for the author-date cites listed below can be found in the paper's references section. We are not violating any terms of use or licenses by distributing these data.

bsa.csv - hand-coded data on bilateral swap agreements between states with the US, China, and Japan

DPI.csv - data on institutional checks from the Database of Political Institutions downloaded in November 2018

Dyadicdata.RData - dyadic UN voting data from Bailey, Strezhnev and Voeten (2017)

IMF_cond.csv - the text of all IMF conditions from the Kentikelenis et al. (2016) data

imf_collab.csv - hand-coded data on collaboration (co-financing and information sharing) between emergency lending IOs

imf_collab_clean - same as above, but including a series of hand-coded institutional covariates

IMF-EDGES.csv - same as above, but reformatted to be amenable to network plotting

IMF-NODES.csv - hand-coded mapping of emergency lending IOs to unique node IDs for network plotting

IMFlast.csv - hand-coded data on time since a country's last IMF program; coded using data from Kentkelenis et al. (2016)

members.csv - data on IMF and RFA membership hand-coded from information on institutional websites

NELDA.csv - election data first accessed from NELDA (Hyde and Marinov 2012) in November 2018

nelson.dta - replication data from Nelson (2017) measuring liberal ideology

p4v2017.csv - 2017 version of the polity dataset restricted to only polity2 scores

quota.csv - data on IMF quotas downloaded from Fund website in early 2019

RFA_ctry.csv - hand-coded data on country membership in and contributions from regional financing arrangements; coding is discussed in Appendix 3

rfalendshare.csv - same as above but manipulated in Excel to show how RFA and IMF lending vary  together (RFA as a share of IMF lending and three-year moving averages)

rfasharep.csv - same as above but includes just the moving averages

schneider_tobin_bailouts.tab - bilateral bailout data from Schenider and Tobin (2020)

ucdp.csv - conflict data accessed from UCDP in November 2018 (Gleditsch et al. 2002)

unidealpt.csv - dyadic UN voting data downloaded from Bailey et al. (2017) in November 2018 V21

unsc.csv - data on non-permanent United Nations Security Council membership; it was originally downloaded from Dreher, Sturm and Vreeland's (2009) replication materials, but I hand-code based on online resources to bring it up-to-date

wbloans.csv - World Bank loan data (IBRD loans and IDA credits) from WDI downloaded August 2021

WDI10.24.19.csv - economic covariates accessed from the World Development Indicators in October 2019

# 3.1 Interview data

The interview process is described in Appendix 1. All quotations that appear in the paper were transcribed immediately after the conclusion of the interview.

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## 4 List of required Packages

Note: All packages are available from CRAN as of 10/4/21. 

{foreign, ggplot2, plm, reshape2, countrycode, sandwich, lmtest, MASS, rworldmap, RColorBrewer, states, mice, VIM, stargazer, margins, clusterSEs, lme4, optimx, coefplot, lattice, survey, dplyr, wordcloud, sampleSelection, quanteda, Matrix, ldatuning, topicmodels, readtext, stm, lda, bursts, tidytext, tm, readstata13, fastDummies, panelView, igraph, NetMix, dnr, statnet, network, sna, DataCombine, sensemakr, estimatr, grid, gridExtra}
